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Information Model of a Digital Process Twin for Machining Processes

: Caesar, Birte; Hänel, Albrecht; Wenkler, Eric; Corinth, Christian; Ihlenfeldt, Steffen; Fay, Alexander


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Industrial Electronics Society -IES-:
25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020. Proceedings : Vienna, Austria - Hybrid, 08 - 11 September 2020
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-7281-8956-7
ISBN: 978-1-7281-8957-4
International Conference on Emerging Technologies and Factory Automation (ETFA) <25, 2020, Online>
Conference Paper
Fraunhofer IWU ()
digital twin; information model; machining process; process data

The development of digital process twins goes hand in hand with the digitalization of manufacturing’s production chain, especially in the machining of parts. The essential basis of these digital process twins is the information model, which describes the properties and relationships of all relevant data and information required to realize the processing task and a digital representation. This paper describes such an information model and presents the benefits and application potentials of digital process twins in the machining of parts.